Assessing the impact of SAR altimetry for global ocean analysis and forecasting

Verrier, Simon; Traon, Pierre‐Yves Le; Rémy, E.; Lellouche, J. M.

doi:10.1080/1755876x.2018.1505028

Cited by 6 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It consists of a 3D-Var bias correction for the slowly evolving large-scale biases in temperature and salinity, and a local version of a reduced-order Kalman filter based on the Singular Evolutive Extended Kalman Filter (SEEK) formulation introduced by Pham et al (1998). Several previous OSSEs (Gasparin et al, 2018;Verrier et al, 2018;Hamon et al, 2019) including some related to Swath observations (Bonaduce et al, 2018), used this system.…”

Section: Data Assimilation Schemementioning

confidence: 99%

Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods

et al. 2021

Self Cite

View full text Add to dashboard Cite

The future Surface Water Ocean Topography (SWOT) mission due to be launched in 2022 will extend the capability of existing nadir altimeters to enable two-dimensional mapping at a much higher effective resolution. A significant challenge will be to assimilate this kind of data in high-resolution models. In this context, Observing System Simulation Experiments (OSSEs) have been performed to assess the impact of SWOT on the Mercator Ocean and Copernicus Marine Environment Monitoring Service (CMEMS) global, high-resolution analysis and forecasting system. This paper focusses on the design of these OSSEs, in terms of simulated observations and assimilation systems (ocean model and data assimilation schemes). The main results are discussed in a companion paper. Two main updates of the current Mercator Ocean data assimilation scheme have been made to improve the assimilation of information from SWOT data. The first one is related to a different parametrisation of the model error covariance, and the second to the use of a four-dimensional (4D) version of the data assimilation scheme. These improvements are described in detail and their contribution is quantified. The Nature Run (NR) used to represent the “truth ocean” is validated by comparing it with altimeter observations, and is then used to simulate pseudo-observations required for the OSSEs. Finally, the design of the OSSEs is evaluated by ensuring that the differences between the assimilation system and the NR are statistically consistent with the misfits between real ocean observations and real-time operational systems.

show abstract

Section: Data Assimilation Schemementioning

confidence: 99%

Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…A new generation of nadir altimeters now provides enhanced capability, thanks to a Synthetic Aperture Radar (SAR) mode that reduces measurement noise (Boy et al, 2017;Heslop et al, 2017). A first assessment of the impact of SAR mode altimetry on ocean analysis and forecasting was carried out using OSSEs with the global Mercator Ocean high-resolution 1/12 • system (Verrier et al, 2018). Compared to conventional altimetry, a constellation of three SAR altimeters reduces Sea Surface Height (SSH) variance errors for both analyses and forecasts by about 20% in western boundary currents, suggesting that use of SAR multiple altimeter missions with high-resolution models will improve the capability of the ocean analysis and forecasting systems in the near future.…”

Section: Altimeter Constellationmentioning

confidence: 99%

From Observation to Information and Users: The Copernicus Marine Service Perspective

et al. 2019

Self Cite

View full text Add to dashboard Cite

The Copernicus Marine Environment Monitoring Service (CMEMS) provides regular and systematic reference information on the physical and biogeochemical ocean and sea-ice state for the global ocean and the European regional seas. CMEMS serves a wide range of users (more than 15,000 users are now registered to the service) and applications. Observations are a fundamental pillar of the CMEMS value-added chain that goes from observation to information and users. Observations are used by CMEMS Thematic Assembly Centres (TACs) to derive high-level data products and by CMEMS Monitoring and Forecasting Centres (MFCs) to validate and constrain their global and regional ocean analysis and forecasting systems. This paper presents an overview of CMEMS, its evolution, and how the value of in situ and satellite observations is increased through the generation of high-level products ready to be used by downstream applications and services. The complementary nature of satellite and in situ observations is highlighted. Le Traon et al. Copernicus Marine Service: Observations Long-term perspectives for the development of CMEMS are described and implications for the evolution of the in situ and satellite observing systems are outlined. Results from Observing System Evaluations (OSEs) and Observing System Simulation Experiments (OSSEs) illustrate the high dependencies of CMEMS systems on observations. Finally future CMEMS requirements for both satellite and in situ observations are detailed.

show abstract

“…New observations have recently become available from remote sensing of wind speed, waves, SL and currents using X-band and high-frequency radar, acoustic Doppler current profilers, lidar, and Ku-band and Ka-band pulse-limited and delay Doppler radar altimetry, which promise high-quality space observations in the coastal zones (Fenoglio-Marc et al, 2015;Cipollini et al, 2017a,b). All these data are expected to improve forecasting model systems (Le Traon et al, 2015;Verrier et al, 2018). Observations relevant to the coastal forcing fields and other oceanic and atmospheric variables are discussed in a broader context by Ardhuin et al (2019), Benveniste et al (2019), and Cronin et al (2019), among others.…”

Section: Ancillary Observationsmentioning

confidence: 99%

Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level

et al. 2019

View full text Add to dashboard Cite

A major challenge for managing impacts and implementing effective mitigation measures and adaptation strategies for coastal zones affected by future sea level (SL) rise is our limited capacity to predict SL change at the coast on relevant spatial and temporal scales. Predicting coastal SL requires the ability to monitor and simulate a multitude of physical processes affecting SL, from local effects of wind waves and river runoff to

show abstract

Assessing the impact of SAR altimetry for global ocean analysis and forecasting

Cited by 6 publications

References 9 publications

Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods

Assessing the Impact of the Assimilation of SWOT Observations in a Global High-Resolution Analysis and Forecasting System Part 1: Methods

From Observation to Information and Users: The Copernicus Marine Service Perspective

Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level

Contact Info

Product

Resources

About